Fast likelihood-free inference in the LSS Stage IV era
Fuente:
arXiv
Saved in:
| Main Authors: | Abellán, Guillermo Franco, Herrera, Guadalupe Cañas, Martinelli, Matteo, Savchenko, Oleg, Sciotti, Davide, Weniger, Christoph |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
How to embed any likelihood into SBI: Application to Planck + Stage IV galaxy surveys and Dynamical Dark Energy
by: Abellán, Guillermo Franco, et al.
Published: (2025)
by: Abellán, Guillermo Franco, et al.
Published: (2025)
Fast Sampling of Cosmological Initial Conditions with Gaussian Neural Posterior Estimation
by: Savchenko, Oleg, et al.
Published: (2025)
by: Savchenko, Oleg, et al.
Published: (2025)
Mean-Field Simulation-Based Inference for Cosmological Initial Conditions
by: Savchenko, Oleg, et al.
Published: (2024)
by: Savchenko, Oleg, et al.
Published: (2024)
Scalable inference with Autoregressive Neural Ratio Estimation
by: Montel, Noemi Anau, et al.
Published: (2023)
by: Montel, Noemi Anau, et al.
Published: (2023)
Albatross: A scalable simulation-based inference pipeline for analysing stellar streams in the Milky Way
by: Alvey, James, et al.
Published: (2023)
by: Alvey, James, et al.
Published: (2023)
Dynamic SBI: Round-free Sequential Simulation-Based Inference with Adaptive Datasets
by: Lyu, Huifang, et al.
Published: (2025)
by: Lyu, Huifang, et al.
Published: (2025)
PolySwyft: sequential simulation-based nested sampling
by: Scheutwinkel, Kilian H., et al.
Published: (2025)
by: Scheutwinkel, Kilian H., et al.
Published: (2025)
Sequential simulation-based inference for extreme mass ratio inspirals
by: Cole, Philippa S., et al.
Published: (2025)
by: Cole, Philippa S., et al.
Published: (2025)
The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparison
by: Piras, Davide, et al.
Published: (2024)
by: Piras, Davide, et al.
Published: (2024)
Tests for model misspecification in simulation-based inference: from local distortions to global model checks
by: Montel, Noemi Anau, et al.
Published: (2024)
by: Montel, Noemi Anau, et al.
Published: (2024)
Simulation-Based Inference of the sky-averaged 21-cm signal from CD-EoR with REACH
by: Saxena, Anchal, et al.
Published: (2024)
by: Saxena, Anchal, et al.
Published: (2024)
SIDE-real: Supernova Ia Dust Extinction with truncated marginal neural ratio estimation applied to real data
by: Karchev, Konstantin, et al.
Published: (2024)
by: Karchev, Konstantin, et al.
Published: (2024)
Peregrine: Sequential simulation-based inference for gravitational wave signals
by: Bhardwaj, Uddipta, et al.
Published: (2023)
by: Bhardwaj, Uddipta, et al.
Published: (2023)
Field-level cosmological model selection: field-level simulation-based inference for Stage IV cosmic shear can distinguish dynamical dark energy
by: Mancini, A. Spurio, et al.
Published: (2024)
by: Mancini, A. Spurio, et al.
Published: (2024)
cloelike: A Python Library for Cosmological Likelihood Inference in the Euclid Era
by: Bonici, Marco, et al.
Published: (2026)
by: Bonici, Marco, et al.
Published: (2026)
Simulation-based inference for stochastic gravitational wave background data analysis
by: Alvey, James, et al.
Published: (2023)
by: Alvey, James, et al.
Published: (2023)
PROSPECT: A profile likelihood code for frequentist cosmological parameter inference
by: Holm, Emil Brinch, et al.
Published: (2023)
by: Holm, Emil Brinch, et al.
Published: (2023)
Global structure of the time delay likelihood
by: Kroupa, Namu, et al.
Published: (2026)
by: Kroupa, Namu, et al.
Published: (2026)
A likelihood framework for cryogenic scintillating calorimeters used in the CRESST dark matter search
by: CRESST Collaboration, et al.
Published: (2024)
by: CRESST Collaboration, et al.
Published: (2024)
The exact non-Gaussian weak lensing likelihood: A framework to calculate analytic likelihoods for correlation functions on masked Gaussian random fields
by: Oehl, Veronika, et al.
Published: (2024)
by: Oehl, Veronika, et al.
Published: (2024)
Partition function approach to non-Gaussian likelihoods: partitions for the inference of functions and the Fisher-functional
by: Kuntz, Rebecca Maria, et al.
Published: (2023)
by: Kuntz, Rebecca Maria, et al.
Published: (2023)
CLiENT: A new tool for emulating cosmological likelihoods using deep neural networks
by: Janken, Luca, et al.
Published: (2025)
by: Janken, Luca, et al.
Published: (2025)
Field-level inference in cosmology
by: Leclercq, Florent
Published: (2025)
by: Leclercq, Florent
Published: (2025)
CosmoForge I: A unified framework for QML power spectrum estimation and pixel-based likelihood analysis
by: Galloni, Giacomo, et al.
Published: (2026)
by: Galloni, Giacomo, et al.
Published: (2026)
The Spectroscopic Stage-5 Experiment
by: Besuner, Robert, et al.
Published: (2025)
by: Besuner, Robert, et al.
Published: (2025)
Testing interacting dark energy with Stage IV cosmic shear surveys through differentiable neural emulators
by: Carrion, Karim, et al.
Published: (2024)
by: Carrion, Karim, et al.
Published: (2024)
Probabilistic cosmological inference on HI tomographic data
by: Andrianomena, Sambatra
Published: (2025)
by: Andrianomena, Sambatra
Published: (2025)
A complete framework for cosmological emulation and inference with CosmoPower
by: Jense, H. T., et al.
Published: (2024)
by: Jense, H. T., et al.
Published: (2024)
Bayesian distances for quantifying tensions in cosmological inference and the surprise statistic
by: Schosser, Benedikt, et al.
Published: (2024)
by: Schosser, Benedikt, et al.
Published: (2024)
Deep inference of simulated strong lenses in ground-based surveys
by: Poh, Jason, et al.
Published: (2025)
by: Poh, Jason, et al.
Published: (2025)
Accurate field-level weak lensing inference for precision cosmology
by: Zhou, Alan Junzhe, et al.
Published: (2023)
by: Zhou, Alan Junzhe, et al.
Published: (2023)
Simulation-based inference on warm dark matter from HERA forecasts
by: Decant, Quentin, et al.
Published: (2024)
by: Decant, Quentin, et al.
Published: (2024)
Towards cosmological inference on unlabeled out-of-distribution HI observational data
by: Andrianomena, Sambatra, et al.
Published: (2024)
by: Andrianomena, Sambatra, et al.
Published: (2024)
The MeerKAT Fornax Survey IV. A close look at the cluster physics through the densest rotation measure grid
by: Loi, Francesca, et al.
Published: (2025)
by: Loi, Francesca, et al.
Published: (2025)
Robust CMB B-mode analysis with Needlet-ILC and simulation-based inference
by: Duivenvoorden, Adriaan J., et al.
Published: (2025)
by: Duivenvoorden, Adriaan J., et al.
Published: (2025)
LyαNNA II: Field-level inference with noisy Lyα forest spectra
by: Nayak, Parth, et al.
Published: (2025)
by: Nayak, Parth, et al.
Published: (2025)
One never walks alone: the effect of the perturber population on subhalo measurements in strong gravitational lenses
by: Coogan, Adam, et al.
Published: (2022)
by: Coogan, Adam, et al.
Published: (2022)
Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology
by: Röspel, Tobias, et al.
Published: (2025)
by: Röspel, Tobias, et al.
Published: (2025)
Simulation-based inference has its own Dodelson-Schneider effect (but it knows that it does)
by: Homer, Jed, et al.
Published: (2024)
by: Homer, Jed, et al.
Published: (2024)
Simulation-based inference with deep ensembles: Evaluating calibration uncertainty and detecting model misspecification
by: Alvey, James, et al.
Published: (2025)
by: Alvey, James, et al.
Published: (2025)
Similar Items
-
How to embed any likelihood into SBI: Application to Planck + Stage IV galaxy surveys and Dynamical Dark Energy
by: Abellán, Guillermo Franco, et al.
Published: (2025) -
Fast Sampling of Cosmological Initial Conditions with Gaussian Neural Posterior Estimation
by: Savchenko, Oleg, et al.
Published: (2025) -
Mean-Field Simulation-Based Inference for Cosmological Initial Conditions
by: Savchenko, Oleg, et al.
Published: (2024) -
Scalable inference with Autoregressive Neural Ratio Estimation
by: Montel, Noemi Anau, et al.
Published: (2023) -
Albatross: A scalable simulation-based inference pipeline for analysing stellar streams in the Milky Way
by: Alvey, James, et al.
Published: (2023)